Scilab 6.1.0
- Scilabヘルプ
- Optimization and Simulation
- Optimization base
- optimbase_cget
- optimbase_checkbounds
- optimbase_checkcostfun
- optimbase_checkx0
- optimbase_configure
- optimbase_destroy
- optimbase_function
- optimbase_get
- optimbase_hasbounds
- optimbase_hasconstraints
- optimbase_hasnlcons
- optimbase_histget
- optimbase_histset
- optimbase_incriter
- optimbase_isfeasible
- optimbase_isinbounds
- optimbase_isinnonlincons
- optimbase_log
- optimbase_new
- optimbase_outputcmd
- optimbase_outstruct
- overview
- optimbase_proj2bnds
- optimbase_set
- optimbase_stoplog
- optimbase_terminate
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
optimbase_isfeasible
Checks if the point satisfies constraints.
Syntax
[opt, isfeasible] = optimbase_isfeasible(opt, x)
Argument
- opt
The object of TOPTIM type (tlist).
- x
A vector of doubles. The current point.
- isfeasible
An integer either -1, 0 or 1.
Description
The optimbase_isfeasible function checks if the point
x satisfies the bounds and inequality constraints.
This function returns
1 if the given point satisfies bounds constraints ans inequality constraints,
0 if the given point is not in the bounds,
-1 if the given point does not satisfies inequality constraints.
Example
opt = optimbase_new (); opt = optimbase_configure(opt, "-numberofvariables", 2); opt = optimbase_configure(opt, "-verbose", 1); opt = optimbase_configure ( opt , "-boundsmin" , [-5 -5] ); opt = optimbase_configure ( opt , "-boundsmax" , [5 5] ); [ opt , isfeasible ] = optimbase_isfeasible ( opt , [0 0] ); disp(isfeasible) opt = optimbase_destroy(opt);
See also
- optimbase_checkx0 — Checks initial guess.
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